Previous research has demonstrated performance inefficiencies among perfectionists, which may be mitigated via the adoption of ‘good enough’ heuristic-based information acquisition strategies; particularly in complex tasks. This study investigated whether training perfectionists to use reduced-processing strategies during decision-making could reduce their checking and maximising tendencies, improve their accuracy, and reduce time on task. Sixty participants completed eight decision scenarios; two at pre-training, four during training, and two at post-training. Scenarios were from firefighting and crime scene investigation (CSI) contexts, which required participants to access feature-related text boxes to acquire information on three possible options. Firefighting and CSI scenarios were used to gauge performance and mental demand at both pre- and post-training. Participants were assigned to one of the three training conditions: Control (i.e., no training), Elimination by Aspects, and Satisficing. All participants completed four firefighting tasks, receiving feedback on each. Participants then completed two perfectionism measures to assess their relative levels of Perfectionistic Concerns and Perfectionistic Strivings. Components of perfectionism significantly predicted changes in accuracy, latency, unique features accessed, and recursions made during decision-making. Participants who trained in reduced-processing strategies did not significantly improve task performance (compared to control), however did show a reduction in the number of unique features accessed. Further, perfectionism did significantly explain variability in change scores but to different extents depending on task context. While training translated to greater reductions in the number of unique features accessed, other proposed benefits of using reduced-processing strategies were not observed. The study contributes to knowledge of human-centred design and elucidates the factors that may influence the successful introduction and adoption of reduced-processing or other training strategies.

先前的研究表明，完美主义者的绩效低下，可以通过采用“足够好”的基于启发式的信息获取策略来缓解。特别是在复杂的任务中。这项研究调查了培训完美主义者在决策过程中使用减少处理策略是否可以减少他们的检查和最大化倾向，提高他们的准确性以及减少执行任务的时间。60名参与者完成了8个决策方案；训练前两个，训练中四个，训练后两个。场景来自消防和犯罪现场调查（CSI）上下文，这些上下文要求参与者访问与功能相关的文本框，以获取有关三个可能选项的信息。在训练前和训练后，使用消防和CSI方案评估绩效和心理需求。参与者被分配到以下三种训练条件之一：控制（即，没有训练），消除方面和满意度。所有参与者完成了四项消防任务，并收到了每项任务的反馈。然后，参与者完成了两个完美主义措施，以评估他们对完美主义关注点和完美主义努力的相对水平。完美主义的组成部分显着预测了准确性，等待时间，所访问的独特功能以及决策过程中的递归的变化。接受过精简处理策略培训的参与者并未显着提高任务性能（与控制相比），但是确实减少了访问的独特功能的数量。进一步，完美主义的确能很好地解释变化分数的变化，但在不同程度上取决于任务环境。尽管培训可以减少使用的独特功能的数量，但未发现使用减少处理策略的其他建议好处。该研究有助于了解以人为本的设计，并阐明了可能影响成功引入和采用精加工或其他培训策略的因素。